Sandboxing
3 posts tagged #sandboxing
3 posts on Sandboxing, 2 of them in the AI Agent Architecture & Frameworks pillar, with 1 in Local LLM Hardware — most read: “Docker Alternative for AI Agent Sandboxes: 3 Compared” and “How to Secure Local LLM Inference: Sandbox + Egress”.
Developer Tools Docker Alternative for AI Agent Sandboxes: 3 Compared
Docker alone doesn't scope an AI coding agent's files, network, or tool calls. Here's how NVIDIA OpenShell, Anthropic sandbox-runtime, and Docker Sandboxes compare — and the factual error circulating about OpenShell's architecture.
Cybersecurity How to Secure Local LLM Inference: Sandbox + Egress
A practical blueprint for secure local LLM inference: sandbox inference hard, default-deny outbound network, stage allowlisted downloads, scan artifacts, and isolate tools.
AI and Machine Learning AI Agent Sandbox on a Linux VM: Safe Tool Use, No K8s
If your coding agent can run `git`, `pip`, or a shell, it deserves its own disposable Linux VM. Default-deny egress, snapshot rollback, scoped secrets, and per-run audit bundles. No Kubernetes required.
Keep exploring
Close to this topic, not on this page.
